CHEF LERNING

PODCASTS

Deep Learning
Computer Vision

COMPUTER VISION

Computer vision has been one of the growing fields since 1960s. Lots of research paper have been published since then. Some applications of computer vision are Classification, Regression, Object detection, Image Segmentation, Online tracking AND Face detection and recognition

COMPUTER VISION

Geometric deep learning is also known as relational inductive biases, graph neural networks, and graph representation learning. The prototypical object considered in this is manifold and graphs. Manifolds are studied by differential geometrical, and graphs are studied by graph theorists or computer scientists.

GEOMETRIC DEEP LEARNING

ABOUT

This space is mostly focused on optimising any newly created or existing model. The optimisation of the model can be done for performance, inference time, and power consumption. This space also covers the latest research paper summary. It has rich content on computer vision and geometric deep learning.